Remove Data Collection Remove Data Processing Remove Metrics
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OpenTelemetry vs. Prometheus: You can’t fix what you can’t see

IBM Big Data Hub

OpenTelemetry and Prometheus enable the collection and transformation of metrics, which allows DevOps and IT teams to generate and act on performance insights. OTel was born from the merger of OpenCensus and OpenTracing with the goal of providing APIs, SDKs, libraries and integrations that standardize the collection of disparate data.

Metrics 75
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KPI Management And Best Practices: How To Find The Perfect KPI Solutions?

datapine

An even more interesting fact: The blogs we read regularly are not only influenced by KPI management but also concerning content, style, and flow; they’re often molded by the suggestions of these goal-driven metrics. For example, customer satisfaction metrics are used to drive a better customer experience.

KPI 221
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Data-Driven Employee Reviews Are Less Biased and Unfair

Smart Data Collective

Performance and productivity fluctuate and you need real-time insights into these metrics to better understand overall employee performance. Furthermore, when feedback isn’t data-driven it can be susceptible to managers’ opinions of an employee.

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What you need to know about product management for AI

O'Reilly on Data

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. That foundation means that you have already shifted the culture and data infrastructure of your company. If you can’t walk, you’re unlikely to run.

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What is business intelligence? Transforming data into business insights

CIO Business Intelligence

Dashboards are hosted software applications that automatically pull together available data into charts and graphs that give a sense of the immediate state of the company. The potential use cases for BI extend beyond the typical business performance metrics of improved sales and reduced costs.

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How to accelerate your data monetization strategy with data products and AI

IBM Big Data Hub

Data products and data mesh Data products are assembled data from sources that can serve a set of functional needs that can be packaged into a consumable unit. Each data product has its own lifecycle environment where its data and AI assets are managed in their product-specific data lakehouse.

Strategy 103
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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

The following figure shows some of the metrics derived from the study. In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. Organizations using C360 achieved 43.9% reduction in sales cycle duration, 22.8%